Overview

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‍Are you a passionate Applied Scientist ready to make a global impact?  Join our elite AI and data science team driving Microsoft Defender's groundbreaking autonomous protection system: Automatic Attack Disruption. As cyber threats grow more sophisticated, Microsoft Defender safeguards enterprises by detecting, investigating, and automatically disrupting advanced attacks and data breaches. Our team builds the AI models behind this mission, alongside the data analytics systems that drive data-informed decisions and operational excellence at scale.ResponsibilitiesIf you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!

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In our team, you will:

• Develop ML models to detect and disrupt cyberattacks.
• Collaborate with security experts to incorporate domain knowledge into ML solutions.
• Work with truly large-scale data to create and refine high-quality training datasets.
• Deploy ML models into production, monitor their performance, and continuously improve them.
• Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.

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‍Qualifications‍

• M.Sc. in Computer Science (or equivalent).
• You have at least 2+ years of hands-on experience in Machine Learning using frameworks such as scikit-learn, PyTorch, or similar.
• You have Hands-on experience in software development.

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Preferred Qualifications

• Background or strong interest in cybersecurity.
• Publications in AI-related research.
• Experience with large-scale data systems (e.g., Spark).
• Software development experience in C, Java, or C++.
• Ability to drive challenging projects from ideation to production.
• Ability to quickly learn new technologies independently.
• Strong interpersonal skills, teamwork, and collaboration.

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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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